Hi All,

I have the following cvx setup for my optimization problem:

```
cvx_begin sdp
variable W1(6,6) hermitian
variable W2(6,6) hermitian
variable W3(6,6) hermitian
expression W
oo=zeros(3)
W = [ W1(1,1) W1(1,2) oo oo
W1(2,1) W1(2,2) W2(2,3) W3(2,4)
oo W2(3,2) W2(3,3) oo
oo W3(4,2) oo W3(4,4)]
minimize real(trace(W*Fobj))
cvx_end
```

However, I got an error for W which is following:

```
Error using cvx/cat (line 40)
All dimensions but the one being concatenated (2) must be equal.
Error in cvx/horzcat (line 2)
y = cat( 2, varargin{:} );
Error in (line 203)
W = [ W1(1,1) W1(1,2) oo oo
```

Can someone help me out what is wrong with my code?

Thanks,

W1(1,1), W(11,2), W1(2,1) etc. are scalars (i.e., 1 by 1). oo is 3 by 3. So you have not constructed W in a conformal manner. If W1, W2, W3 were 6 by 6 MATLAB variables instead of CVX variables, you would also encounter a horzcat error.

I can’t tell you how to fix it, because I don’t know what you want W to be.

Thanks Mark for the quick response.

I made a mistake in matrix W definition, now I redefined my cvx variables as 3x3 and rewrite my W.

```
cvx_begin sdp
variable W11(3,3) hermitian
variable W12(3,3) hermitian
variable W21(3,3) hermitian
variable W22(3,3) hermitian
variable W23(3,3) hermitian
variable W24(3,3) hermitian
variable W32(3,3) hermitian
variable W33(3,3) hermitian
variable W42(3,3) hermitian
variable W44(3,3) hermitian
expression W
oo=zeros(3)
W = [ W11 W12 oo oo
W21 W22 W23 W24
oo W32 W33 oo
oo W42 oo W44]
W1=[W11 W12; W21 W22]; W2=[W22 W23; W32 W33]; W3=[W22 W24; W42 W44];
minimize real(trace(W*Fobj))
W1 >= 0; W2 >=0; W3>=0
cvx_end
```

But this time I got the following error for my inequality constraints:

```
Warning: This linear matrix inequality appears to be unsymmetric. This is
very likely an error that will produce unexpected results. Please check
the LMI; and, if necessary, re-enter the model.
```

Is it the way I created the W1, W2 and W3 that creates the error?

Thanks,

You need to construct W so that it is hermitian (or symmetric).

```
W = [ W11 W12 oo oo
W12' W22 W23 W24
oo W23' W33 oo
oo W24' oo W44]
```

And W1, W2, W3 as well if you don’t extract them out of W.

All W1,W2, and W3 are 6x6 cvx variable, aren’t they hermitian since I built them by using hermitian matrices (W11, W12,… etc.)?

The variables you declared as 3 by 3 are hernitian. But, for example, W12 might not equal W21’, so CVX issued a warning. If you build the matrices (for example, W1) as I showed, it will be symmetric (hermitian) and `W1 >= 0`

should be processed by CVX as you wanted to specify a linear matrix inequality.

Thanks Mark, I solved the problem now.